ecommerce-image-workflow
Enables the agent to generate e-commerce product images from photos. It's useful for creating a consistent set of high-quality product images.
What it does
This tool creates a set of images for selling products online. It uses real photos of your product to generate a main image, an image highlighting a key feature, and an image showing the product in use.
When to use it
- ✓When you have product photos and want to create better images for your store.
- ✓When you need images that showcase your product's strengths.
- ✓When you want to show how the product looks in a real-world setting.
Example of what to ask your AI
“Create product images for my online store from these photos.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The AI analyzes the photos you upload to understand the product's appearance. Then, it generates different types of images: a basic one, one focused on a detail, and one in a lifestyle setting.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add nexu-io/open-design --skill ecommerce-image-workflowOr download just the file:
curl -L https://raw.githubusercontent.com/nexu-io/open-design/main/skills/ecommerce-image-workflow/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Ecommerce Image Workflow
Create a compact ecommerce image set from real product reference imagery. This V1 skill is intentionally narrow: it supports reference-product mode only. If the user only describes a product and does not provide a product photo, ask for one and stop. Do not create a brief-only concept product in this version.
Resource map
ecommerce-image-workflow/
|-- SKILL.md
|-- example.html
`-- references/
`-- checklist.md
What this skill produces
By default, generate three ecommerce-ready image assets for one product:
- Main image - clean product-first packshot on white or soft neutral background.
- Feature image - one selling point shown clearly with controlled callout space, without relying on tiny unreadable in-image text.
- Lifestyle image - product shown in a plausible use context while keeping the product faithful to the reference.
Also create:
image-manifest.jsondescribing reference inputs, slots, prompts, outputs, aspect ratios, and fidelity notes.ecommerce-gallery.htmlas a small preview gallery linking the generated files and summarizing the image roles.
Input contract
Required:
- At least one uploaded product reference image in the active project.
Ask only for missing essentials:
- Product name or short label if it is not obvious.
- Main selling point if the feature image cannot be inferred safely.
- Target marketplace or aspect only if the user asks for platform-specific framing.
Do not ask broad discovery questions. Keep the workflow moving.
Workflow
Step 0 - Confirm reference-product mode
Before planning, verify that the current project includes a real product reference image.
If no product image is available, reply:
Please upload at least one product reference image first. This V1 workflow preserves a real product from reference photos; brief-only concept generation is deferred to a later version.
Then stop.
Step 1 - Extract product identity anchors
Inspect the reference image and write a short internal identity lock:
- Product category and form factor.
- Shape and silhouette.
- Primary colors and materials.
- Logo, label, pattern, fasteners, ports, straps, handles, or other fixed details.
- Scale cues and proportions.
- What must not change.
Use these anchors in every generation prompt.
Step 2 - Build a three-slot shot plan
Create a compact shot plan before dispatch:
| Slot | Default aspect | Goal |
|---|---|---|
| main | 1:1 | Product-first marketplace image on white or soft neutral background |
| feature | 4:5 | One clear selling point with close-up detail or simple callout space |
| lifestyle | 4:5 | Realistic use context with the product still visually faithful |
If the project metadata provides imageAspect, use it when the user expects a
single aspect across the set. Otherwise use the slot defaults above.
Step 3 - Compose prompts with a fidelity lock
Every prompt must include this product fidelity instruction near the top:
Preserve the exact product identity from the reference image: shape,
silhouette, color, material, logo/label placement, visible construction
details, and proportions. Do not redesign the product. Do not add, remove,
or relocate product features.
Then add slot-specific instructions:
Main image prompt
- Product centered and fully visible.
- White, off-white, or very light grey background.
- Soft studio lighting with clean shadow.
- No props unless the user asked for them.
- No in-frame marketing text.
Feature image prompt
- Focus on one user-provided or safely inferred feature.
- Use close-up composition, cutaway-style crop, or clean negative space for later designer-added labels.
- Keep the product visually balanced in the frame. If no explicit callout structure is being generated, center the product. If label space is needed, offset the product only slightly and make the empty space feel intentional.
- Do not invent certifications, performance numbers, materials, or claims.
- Avoid tiny rendered text; leave label space instead.
Lifestyle image prompt
- Use a realistic environment matched to the product category.
- Keep the product the focal point.
- Show human interaction only if it helps explain use and does not obscure the product.
- Preserve product scale and structure.
Step 4 - Dispatch through the media contract
…
FAQ
Do I need to upload photos of my product?
Yes, this tool requires real photos of your product to work. It does not create images of non-existent products.
What types of images are created?
Three images are created: a main image (packshot), a feature image, and a lifestyle image.
Can the AI change the product in the photos?
No, the AI is instructed to keep the product exactly as it is in the reference photos, without making alterations.
Details
Original description by the author
Reference-product ecommerce image workflow for generating a compact set of product-faithful main, feature, and lifestyle images from real product reference photos. V1 requires uploaded product imagery and intentionally defers brief-only concept generation and platform-specific batch exports.
repo: nexu-io/open-design
Popularity
- GitHub stars
- 101k
- Ranking position
- #685
- License
- Apache-2.0
- Updated
- 10/16/2026
Comments
- …
More skills from this repository
sample-plugin
Makes your agent create a metadata file for tests. It helps ensure code works correctly in different situations.
nexu-io/open-design
aster-atelier
Helps your agent create an artistic website with a classic look. It uses elegant imagery, blue skies, and serif fonts for a cinematic feel.
nexu-io/open-design
audio-jingle
Makes your agent generate audio like jingles and sound effects. It can create music and voices, saving the result as an audio file.
nexu-io/open-design
blog-post
Helps your agent write long articles or blog posts. It includes space for images, quotes, and author information.
nexu-io/open-design
Similar skills
ios-icon-gen
Lets your agent generate icons for iOS apps. It uses Apple symbols or icons from other sources to create the correct files.
affaan-m/ECC
algorithmic-art
Helps your agent create art using code, generating unique images. It's useful when you want original computer-generated art.
anthropics/skills
canvas-design
Helps your agent create beautiful visual art in files. It's useful when you ask for a poster, art, or any static design.
anthropics/skills